Expert systems for image processing-knowledge-based composition of image analysis processes

Author

Matsuyama, Takashi

Author_Institution

Dept. of Inf. Eng., Tohoku Univ., Miyagi, Japan

fYear

1988

Firstpage

125

Abstract

Expert systems for image processing are classified into four categories, and their objectives, knowledge representation, reasoning methods, and shortcomings are discussed. The categories are: (1) consultation systems for image processing; (2) knowledge-based program composition systems; (3) rule-based design systems for image segmentation algorithms; and (4) goal-directed image segmentation systems. The importance of choosing effective image analysis strategies is discussed. Two methods are proposed for characterizing image analysis strategies: one from a software engineering viewpoint and the other from a knowledge representation viewpoint. Several examples are given to demonstrate the effectiveness of these methods

Keywords

computerised picture processing; expert systems; knowledge based systems; knowledge representation; computerised picture processing; expert systems; image analysis; image processing; image segmentation; knowledge representation; knowledge-based composition; rule-based design systems; software engineering; Algorithm design and analysis; Digital images; Expert systems; Image analysis; Image edge detection; Image processing; Image quality; Image segmentation; Knowledge representation; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1988., 9th International Conference on

Conference_Location

Rome

Print_ISBN

0-8186-0878-1

Type

conf

DOI

10.1109/ICPR.1988.28187

Filename

28187